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   &#160;<span id="projectnumber">1.2.1</span>
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<div class="title">The spGPU library documentation </div>  </div>
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<div class="textblock"><h2><a class="anchor" id="intro_sec"></a>
Introduction</h2>
<p>spGPU is a set of custom matrix storages and CUDA kernels for sparse linear algebra computing on GPU. It isn't a replacement for cuBLAS/cuSPARSE that should be used for a full featured linear algebra environment on GPU.<br/>
 The main matrix storage used by spGPU is a GPU-friendly ELLpack format, as well as our HELL (Hacked ELLpack) format, an enhanced version of ELLpack with some interesting memory saving properties.<br/>
 HELL format provides a better memory storage compared to ELL (it avoids allocation inefficency provided by spikes in row sizes), while providing quite the same performances for sparse matrix-vector multiply routine..</p>
<h2><a class="anchor" id="install_sec"></a>
How to build spgpu</h2>
<h3><a class="anchor" id="linuxbuild"></a>
Linux (and other unix systems)</h3>
<p>cd spgpu/build/cmake<br/>
 sh configure.sh<br/>
 make </p>
<h2><a class="anchor" id="cr_sec"></a>
Copyright</h2>
<p>Copyright (C) 2010 - 2013<br/>
 Davide Barbieri - University of Rome Tor Vergata<br/>
 Valeria Cardellini - University of Rome Tor Vergata<br/>
 Salvatore Filippone - University of Rome Tor Vergata</p>
<p>This program is free software; you can redistribute it and/or<br/>
 modify it under the terms of the GNU General Public License<br/>
 version 3 as published by the Free Software Foundation.</p>
<p>This program is distributed in the hope that it will be useful,<br/>
 but WITHOUT ANY WARRANTY; without even the implied warranty of<br/>
 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the<br/>
 GNU General Public License for more details. </p>
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